CodeLlama 13B Fp16 by TheBloke

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CodeLlama 13B Fp16 Benchmarks

CodeLlama 13B Fp16 (TheBloke/CodeLlama-13B-fp16)

CodeLlama 13B Fp16 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
code synthesis, understanding tasks, Python programming, code assistant
Primary Use Cases:
code synthesis and understanding tasks, handle the Python programming language
Limitations:
Use in any manner that violates applicable laws or regulations, Use in languages other than English
Considerations:
Developers should perform safety testing and tuning tailored to specific applications.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
same data as Llama 2 with different weights
Context Length:
100000
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
autoregressive language models using optimized transformer architectures
Safety Evaluation 
Ethical Considerations:
Testing conducted to date has been in English and has not covered all scenarios. Outputs cannot be predicted in advance and may be inaccurate or objectionable.
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text only
Performance Tips:
Load the FP16 models with `trust_remote_code=True` for correct results.
LLM NameCodeLlama 13B Fp16
Repository ๐Ÿค—https://huggingface.co/TheBloke/CodeLlama-13B-fp16 
Base Model(s)  Typescript Instruct 20K V2   mhhmm/typescript-instruct-20k-v2
Model Size13b
Required VRAM26 GB
Updated2024-12-21
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Quantization Typefp16
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-13B-fp16.

Rank the CodeLlama 13B Fp16 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217